Department of Cardiology, The First Hospital of Jilin University, Changchun, Jilin Province, China.
Department of Orthopedics, Jilin Province FAW General Hospital, Changchun, Jilin Province, China.
BMC Cardiovasc Disord. 2020 May 6;20(1):211. doi: 10.1186/s12872-020-01495-0.
Lipid infiltration and inflammatory response run through the occurrence of atherosclerosis. Differentiation into macrophages and foam cell formation are the key steps of AS. Aim of this study was that the differential gene expression between foam cells and macrophages was analyzed to search the key links of foam cell generation, so as to explore the pathogenesis of atherosclerosis and provide targets for the early screening and prevention of coronary artery disease (CAD).
The gene expression profiles of GSE9874 were downloaded from Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9874) on GPL96 [HG-U133A] Affymetrix Human Genome U133. A total of 22,383 genes were analyzed for differentially expression genes (DEGs) by Bayes package. GO enrichment analysis and KEGG pathway analysis for DEGs were performed using KOBAS 3.0 software (Peking University, Beijing, China). STRING software (STRING 10.0; European Molecular Biology Laboratory, Heidelberg, Germany) was used to analyze the protein-protein interaction (PPI) of DEGs.
A total of 167 DEGs between macrophages and foam cells were identified. Compared with macrophages, 102 genes were significantly upregulated and 65 genes were significantly downregulated (P < 0.01, fold-change > 1) in foam cells. DEGs were mainly enrich in 'sterol biosynthetic and metabolic process', 'cholesterol metabolic and biosynthetic process' by GO enrichment analysis. The results of KEGG pathway analysis showed all differential genes are involved in biological processes through 143 KEGG pathways. A PPI network of the DEGs was constructed and 10 outstanding genes of the PPI network was identified by using Cytoscape, which include HMGCR, SREBF2, LDLR, HMGCS1, FDFT1, LPL, DHCR24, SQLE, ABCA1 and FDPS.
Lipid metabolism related genes and molecular pathways were the key to the transformation of macrophages into foam cells. Therefore, lipid metabolism disorder is the key to turn macrophages into foam cells, which plays a major role in CAD.
脂质浸润和炎症反应贯穿动脉粥样硬化的发生过程。巨噬细胞分化和泡沫细胞形成是 AS 的关键步骤。本研究旨在分析泡沫细胞和巨噬细胞之间的差异基因表达,以寻找泡沫细胞生成的关键环节,从而探讨动脉粥样硬化的发病机制,并为冠心病(CAD)的早期筛查和预防提供靶点。
从基因表达综合数据库(https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE9874)下载 GSE9874 基因表达谱,基于 GPL96 [HG-U133A] Affymetrix Human Genome U133。使用 Bayes 包分析 22383 个基因的差异表达基因(DEGs)。使用 KOBAS 3.0 软件(北京大学,北京,中国)对 DEGs 进行 GO 富集分析和 KEGG 通路分析。使用 STRING 软件(STRING 10.0;欧洲分子生物学实验室,海德堡,德国)分析 DEGs 的蛋白质-蛋白质相互作用(PPI)。
在巨噬细胞和泡沫细胞之间共鉴定出 167 个 DEGs。与巨噬细胞相比,泡沫细胞中 102 个基因显著上调,65 个基因显著下调(P<0.01,倍数变化>1)。GO 富集分析结果表明,DEGs 主要富集在“固醇生物合成和代谢过程”、“胆固醇代谢和生物合成过程”。KEGG 通路分析结果表明,所有差异基因均通过 143 个 KEGG 途径参与生物学过程。通过 Cytoscape 构建了 DEGs 的 PPI 网络,鉴定出 PPI 网络中的 10 个突出基因,包括 HMGCR、SREBF2、LDLR、HMGCS1、FDFT1、LPL、DHCR24、SQLE、ABCA1 和 FDPS。
脂质代谢相关基因和分子途径是巨噬细胞向泡沫细胞转化的关键。因此,脂质代谢紊乱是巨噬细胞向泡沫细胞转化的关键,在 CAD 中起主要作用。